mobile-device-mcp: An MCP server to use with iOS and Android

by srmorete · MCP Server · ★ 53

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install mobile-device-mcp

claude mcp add mobile-device-mcp -- npx -y @srmorete/mobile-device-mcp@latest
claude mcp add mobile-device-mcp -e MDMS_PORT_ANDROID=20000 -e MDMS_PORT_IOS=21000 -- npx -y @srmorete/mobile-device-mcp@latest

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 79/100

None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiai-agentsandroidautomationiosmcpqaqa-agentui-testing

Quick Facts

Stars53
Forks2
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score79/100
Open Issues3
Last Updated2026-08-02
Created2026-04-05
Platformsbrowser, mcp, node
Est. Tokens~15k

About mobile-device-mcp

Mobile Device MCP An MCP server that lets AI agents control iOS and Android devices (tap, scroll, type, take screenshots, read UI trees, and run code). Works with multiple devices at the same time. How It Works Three-layer architecture: On-device servers — Lightweight HTTP servers running on each mobile device (UIAutomator on Android, XCUITest on iOS) that expose the accessibility tree and accept...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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